• International Journal of Highway Engineering
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• v.17 no.1
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• pp.17-24
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• 2015

PURPOSES : Recently, crack, rutting, and stripping problems from the surface of asphalt pavements in National highway are observed and they affect the drivers to feel uncomfortable on the road. Surface treatments are recommended to use in distressed pavements due to cost-effective, and improvement of surface performance. The purpose of this study is to evaluate the performance of micro-surfacing and polymer slurry seal treatments for distressed asphalt pavements. METHODS : Surface conditions and friction resistance are evaluated for asphalt pavements treated with micro-surfacing and polymer slurry seal mixes in National highway 30 line and 34 line. Visual observation is conducted and surface performance is measured by PES (Performance Evaluation Surveyor) in terms of crack ratio, rutting and IRI(International Roughness Index). BPN(British Pendulum Number) is measured by BPT(British Pendulum Tester) to evaluate the friction resistance in the field. RESULTS : The surface evaluation results are presented for asphalt pavement treated with micro-surfacing and polymer slurry seal treatments in National highway 30 line and 34 line. Based on the visual observation, micro-surfacing and polymer slurry seal treatments show better improvements in terms of cracks and stripping. Based on the surface conditions measured by PES vehicle, the surface performance of micro-surfacing treatments improves from 53.3% to 54.2% and the surface performance of polymer slurry seal treatments improves from 21.6% to 59.7%. However, the friction resistance of both micro-surfacing and polymer slurry seal treatments decreases from 2.5% to 6.7%. Further, it should be verified to produce the surface exposed with aggregates during the construction process of both treatment methods in the field. CONCLUSIONS : Based on the performance evaluation results in the filed, the surface performance of asphalt pavement treated with micro-surfacing and polymer slurry seal treatments improves from 21.6% to 59.7%. While, the friction resistance of asphalt pavement treated with micro-surfacing and polymer slurry seal treatments does not improve. It can be concluded that current micro-surfacing and polymer slurry seal treatments would improve surface performance but would not improve the friction resistance.

• Proceedings of the IEEK Conference
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• 2002.07a
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• pp.149-151
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• 2002

We had been developing the variety of parallel processing systems in order to improve the processing speed of visual media applications. These systems were using multi-access memory system(MAMS) as a parallel memory system, which provides the capability of the simultaneous accesses of image points in a line-segment with an arbitrary degree, which is required in many low-level image processing operations such as edge or line detection in a particular direction, and so on. But, the performance of these systems did not give a faithful speed because of asynchronous feature between MAMS and processing elements. To improve the processing speed of these systems, we have been investigated a pipelined parallel processing system using MAMS. Although the system is considered as being the single instruction multiple data(SIMD) type like the early developed systems, the performance of the system yielded about 2.5 times faster speed.

• Journal of the Korean Institute of Gas
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• v.19 no.2
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• pp.45-53
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• 2015

In order to improve the performance of the visual inspection process, in addition to existing automatic visual inspection machine and human inspectors have developed a new process configuration using a Naive Bayes classifier. By applying the classifier, defect leakage and human inspector's work amount could be improved at the same time. New classification method called AMPB was applied instead of conventional methods based on MAP classification. By experimental results using the filter product for camera modules, it was confirmed that it is possible to configure the process at the level of leakage ratio 1.14% and human inspector's work amount ratio 75.5%. It is significant that the result can be applied in such a wide range as gas leak detection which is the collaboration process between inspection machine and human inspector's

• KEPCO Journal on Electric Power and Energy
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• v.7 no.2
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• pp.323-328
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• 2021

Diagnostic models are required. Data augmentation is one of the best ways to improve deep learning performance. Traditional augmentation techniques that modify image brightness or spatial information are difficult to achieve great results. To overcome this, a generative adversarial network (GAN) technology that generates virtual data to increase deep learning performance has emerged. GAN can create realistic-looking fake images by competitive learning two networks, a generator that creates fakes and a discriminator that determines whether images are real or fake made by the generator. GAN is being used in computer vision, IT solutions, and medical imaging fields. It is essential to secure additional learning data to advance deep learning-based fault diagnosis solutions in the power industry where facilities are strictly maintained more than other industries. In this paper, we propose a method for generating power facility images using GAN and a strategy for improving performance when only used a small amount of data. Finally, we analyze the performance of the augmented image to see if it could be utilized for the deep learning-based diagnosis system or not.

• Proceedings of the KIEE Conference
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• 2004.11c
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• pp.107-109
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• 2004

In this paper, authors propose the sensor fusion system that can recognize multiple 3D objects from 2D projection images and tactile information. The proposed system focuses on improving recognition performance of 3D object. Unlike the conventional object recognition system that uses image sensor alone, the proposed method uses tactual sensors in addition to visual sensor. Neural network is used to fuse these informations. Tactual signals are obtained from the reaction force by the pressure sensors at the fingertips when unknown objects are grasped by four-fingered robot hand. The experiment evaluates the recognition rate and the number of teaming iterations of various objects. The merits of the proposed systems are not only the high performance of the learning ability but also the reliability of the system with tactual information for recognizing various objects even though visual information has a defect. The experimental results show that the proposed system can improve recognition rate and reduce learning time. These results verify the effectiveness of the proposed sensor fusion system as recognition scheme of 3D object.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.54 no.3
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• pp.156-165
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• 2005

Human being recognizes the physical world by integrating a great variety of sensory inputs, the information acquired by their own action, and their knowledge of the world using hierarchically parallel-distributed mechanism. In this paper, authors propose the sensor fusion system that can recognize multiple 3D objects from 2D projection images and tactile informations. The proposed system focuses on improving recognition performance of 3D objects. Unlike the conventional object recognition system that uses image sensor alone, the proposed method uses tactual sensors in addition to visual sensor. Neural network is used to fuse the two sensory signals. Tactual signals are obtained from the reaction force of the pressure sensors at the fingertips when unknown objects are grasped by four-fingered robot hand. The experiment evaluates the recognition rate and the number of learning iterations of various objects. The merits of the proposed systems are not only the high performance of the learning ability but also the reliability of the system with tactual information for recognizing various objects even though the visual sensory signals get defects. The experimental results show that the proposed system can improve recognition rate and reduce teeming time. These results verify the effectiveness of the proposed sensor fusion system as recognition scheme for 3D objects.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.3
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• pp.517-525
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• 2006

In this paper, the algorithm which improve the efficiency of surveillance in spite of the change of light is proposed and confirmed by virtue of the experiments. One of the problems for the implementation of visual surveillance system is the image processing technique to overcome with the variations of illumination lights. Some conventional systems are generally not considered the error due to the change of lights because the system use at indoor. In practical, the factors of bad image can be classified to the ghosts due to the reflection of lights and shadows in a scene. Especially weak images and noises at night are decreased the performance of visual surveillance system. In the paper, the filter which improve the images with some change of illumination lights is designed and the gabor filter is used for recognition and tracking of the moving objects. In the results, the system showed that the recognition and tracking were obtained $92\sim100%$ of recognition rate at daytime, but $80\sim90%$ of nighttime.

• KIEAE Journal
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• v.12 no.6
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• pp.129-134
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• 2012

The lightshelf system, a daylighting device, has been applied to improve the visual environment by optimal light distributions and intense illumination levels of a interior. Also, The photovoltaic is one of the most important sustainable technologies appliable to architectures. This study aims to evaluate the performance of photovoltaic integrated lightshelf system. For the study, the 1/5 scaled office models were made and the field tests were experimented under clear sky conditions. The power ratio has been analyzed to evaluate the performance of photovoltaic integrated lightshelf system. As results, the power performance was high on photovoltaic lightshelf installation angle $0^{\circ}$. And the performance was reduced on 23(%) by installation angle $15^{\circ}$ and 63(%) by installation angle $30^{\circ}$.

• Journal of the Korean Applied Science and Technology
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• v.35 no.1
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• pp.299-305
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• 2018

Perception refers to the process of acquiring all the information about the environment through various sensory organs such as the visual, auditory, tactile, and olfactory senses and integrating and interpreting the information transmitted to the brain. The ability to use these perceptions efficiently is called perceptual skill, and perceptual skill is an important factor for improving performance in the field of sports. As a result, many researchers have developed various perceptual training programs to maximize these perceptual skills while they have also progressed on attempting to verify their effects. The perceptual skill training introduced in this study is a training method that focuses on visual perception and is a training method that is applied in the United States and Europe. to improve sports performance. As a result of carrying out the perceptual skills training based on the kicker's important clue (the kicker's hip - the angle of the body and foot before kicking) to the goalkeeper in the situation of a soccer penalty kick improved the ability of predicting the direction of the ball while even in tennis, carrying out the perceptual skills training based on the server's important clue (position, ball, racket) improved the accuracy of the ability to predict in the direction of serve. Recently, there have been numerous research studies that were carried out on such perceptual skills training, but the number of studies conducted are insufficient, especially in Korea where research studies on perceptual training seem to be in a relatively neglected state. In addition, extensive studies need to be carried out to investigate whether the improvement of perceptual skills in the laboratory situation can be transitioned to an actual performance situation. Therefore, in order to elevate sports performance, researchers need to examine the perceptual training program's extent of necessity as well as the research direction regarding its effects.

• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.307-318
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• 2014

This study investigated how people perceived the importance of health message design principles including gist presentation, usefulness of content, format, and intuitive design and how well a webzine article published by Korean Ministry of Food and Drug Safety was designed in terms of the four design principles. This study also explored what individual characteristics influenced the perceptions of health message design principles. A total of 294 adults participated in the survey, and their responses were analyzed with the Importance-Performance Analysis method. Participants perceived that usefulness of content was most important in the text design; gist presentation was most important in the visual design; and format was well designed in both text and visual messages. This study showed that it is crucial to improve the quality of visual health messages particularly in terms of gist presentation and intuitive design. We also found that individuals' interest in health played a significant role in the perceptions of health messages. These results were discussed in regards to principles and strategies for the effective design of health messages.